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Multivariate Statistical analysis for prediction

I have an historic sqlite database file, with 100 tables.

Each table has more than 10000 registers.

Registers include price and timestamp (Example 1 register each minute)

Each register have about 20 indicators that will help to predict if price will go UP or DOWN.

I need a model for prediction of price direction using data of these indicators

Will be a Python script to show stats receiving the file and a probability as minimum example:

python3 [login to view URL] [login to view URL] UP 0.8

- Results for each table and general results (using 100tables of data)

0< indicator 1 <0.1

0.23 < indicator 2 < 0.42

0.9 < indicator 3 < 2.0

...

- # of positive cases in table and in general.

You will use a python statistics package or AI model...

If you understood say "Hello eduardb" in your bid.

Ideally explain in private chat your experience and way to solve that.

Edit: Example of a single table attached

Skills: Python, Statistics, Statistical Analysis, SciPy, Machine Learning (ML)

About the Client:
( 21 reviews ) NYC, Chile

Project ID: #33961955

39 freelancers are bidding on average $218 for this job

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Fazeennazar

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techplusintl

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saba106

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